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The K-12 AI Infrastructure Program released this request for proposals on October 7, 2026. It funds an openly licensed package of tools, workflows and documentation, such as a harness, reference architecture or starter kit, that helps developers build education-specific public goods into AI-enabled formative assessment products.
The aim is to coordinate the work of teachers and AI tools so teachers can see, control and monitor the AI used in their classrooms. Proposals must name at least four tasks that improve teacher-AI coordination, engage at least three AI developers and include a classroom demonstration application. Most of the effort must serve third-party developers rather than end users.
Code must be MIT or Apache 2. 0 licensed and datasets CC-BY-4. 0.
Up to two awards of up to $600,000 each will be made from a $1 million pool. Projects run 18 months in three phases starting February 1, 2027. Proposals are due November 20, 2026 at 11:59 p.
m. Anywhere on Earth. This is a separate round from the program's earlier formative assessment, EDU AI and benchmarks RFPs.
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Or search similar grants →According to the current listing, eligibility includes: U.S.-based edtech companies, for-profit and nonprofit organizations (including fiscally sponsored nonprofits), school districts and higher education institutions whose outputs serve U.S. students; one application per lead organization, or per department for organizations over 2,000 staff. Confirm the full requirements in the official notice before applying.
The current listing shows up to $600,000 per award; up to two awards from a $1M pool. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Digital Promise K-12 AI Infrastructure Program RFP Integrating Digital Public Goods to Advance AI-Enabled Formative Assessment Teacher-AI Harness are due November 21, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Digital Promise K-12 AI Infrastructure Program RFP Integrating Digital Public Goods to Advance AI-Enabled Formative Assessment Teacher-AI Harness is funded by Digital Promise K-12 AI Infrastructure Program (with Learning Data Insights, DrivenData, Massive Data Institute at Georgetown University, and Catalyst @ Penn GSE; Gates Foundation funded). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Incubator Week is a five-day, all-expenses-paid program in San Francisco run by BlueDot Impact for founders working on catastrophic risks from AI and related technologies, including AI safety, biosecurity and cybersecurity. Cohort 6 runs from 16 to 20 November 2026. On day one, participants build threat models and identify the leading experts in their problem area. Days two and three are for building and testing interventions, consulting experts and stress-testing assumptions with the cohort. Day four is for refining the pitch, and on day five participants pitch for funding. BlueDot funds immediate needs on the spot, and strong progress can unlock a full grant of up to $200,000 within two weeks. No polished idea is required. The Manifund AI Safety Funder Bulletin lists the application deadline as 11 November 2026, though the program page itself does not state a deadline. It suits technically serious people ready to leave their current work to start a new AI safety organization or project.
The K-12 AI Infrastructure Program, run by Digital Promise with Learning Data Insights, DrivenData, Georgetown University's Massive Data Institute and Catalyst @ Penn GSE and funded by the Gates Foundation, released this request for proposals on 7 October 2026. It will fund up to two awards of up to $600,000 each from a $1 million pool. Grantees will build an openly licensed package of tools, workflows and documentation, such as a reference architecture, harness or starter kit, that helps developers explore, test and integrate education-specific digital public goods into AI-enabled formative assessment products. Phase 1 focuses on coordination between teachers and classroom AI tools, giving teachers more visibility into and control over AI. Proposals must cover at least four teacher-AI coordination tasks, engage at least three AI developers and include a classroom demonstration, and most funded work must serve third-party developers rather than end users. Code must be released under MIT or Apache 2.0 and datasets under CC-BY-4.0. The grant period is 18 months in three phases of about six months, starting 1 February 2027. This is a separate, narrower solicitation from the program's March 2026 first grant cycle. Proposals are due 20 November 2026 at 11:59 p.m. Anywhere on Earth.
The Tarbell Fellowship is a full-time, hybrid program run by the Tarbell Center for AI Journalism that trains journalists to cover artificial intelligence, including AI safety, governance and accountability. Applications for the 2027-28 cohort close on 22 November 2026. A work test follows in December 2026 to January 2027, interviews run from January to March 2027, and fellows are selected in late March 2027. The program opens with a remote AI Journalism Fundamentals course from 7 June to 6 August 2027, followed by an in-person summit planned for 16-20 August 2027. Fellows are then placed as embedded reporters at partner newsrooms from September 2027 to May 2028, with a possible one-year extension. Fellows earn $75,000 to $120,000, and senior fellows with seven or more years of experience earn $115,000 to $135,000. Partner newsrooms set the assignments. Applicants submit one to three writing samples of no more than 4,500 words in total, and AI-generated text is not allowed.
The Caregiver Supports and Opportunities for Early Learning RFP closes October 22, 2026 with $500,000 to $1 million awards over three years. Four excluded service categories and a requirement to combine at least two activity types reshape who is competitive — and current grantees on this objective are barred outright.
Read articleGates committed $540.2 million over a decade to the Institute for Health Metrics and Evaluation — the largest gift in University of Washington history — while IHME's federal grant income falls from $7.3 million to a projected $4.8 million. The gift is a case study in the anchor-funder model: what it can do that federal money cannot, and the concentration risk it quietly underwrites.
Read articleOn July 22, 2026, NSF announced $83 million in Integrated Data Systems and Services awards and launched a companion program, Unlocking Dataset Value for AI-Enabled Scientific Discovery, offering up to $100 million in $2M-$5M awards. Together they fund the least glamorous and most decisive part of the AI-for-science stack: the data. Here is what each program funds, who won the first round, how the two fit the Genesis Mission, and the concrete strategy for research teams that missed the first cohort.
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